Learning Bilinear Models of Actuated Koopman Generators from Partially Observed Trajectories

Mathematics

• Basis Function 100%
• Approximates 100%
• Dynamical System 100%
• Slow Manifold 100%
• Eigenfunction 100%
• Hidden Markov Model 100%
• Kalman Filtering 100%
• Predictive Model 100%
• Expectation-Maximization Algorithm 100%
• Dynamic Mode Decomposition 100%
• Data-Driven Model 100%
• Representation Learning 100%
• Duffings Equation 100%

Engineering

• Observables 100%
• Actuation 50%
• Eigenvector 50%
• State Estimation 50%
• Mode Dynamic 50%
• Model Parameter 50%
• Basis Function 50%
• Fluidics 50%
• Kalman Filter 50%
• Expectation Maximization Algorithm 50%
• Invariant Subspace 50%
• Predictive Control Model 50%

Keyphrases

• Standard Kalman Filter 16%
• Control-affine Dynamics 16%
• Bilinear Approximation 16%